{"title":"具有固有并行特性的随机数生成器","authors":"T. L. Yu, K. W. Yu","doi":"10.1109/FMPC.1990.89433","DOIUrl":null,"url":null,"abstract":"By incorporating the spatial variable into a one-dimensional array of numbers, it is possible to generalize the well-known linear congruential random-number generator (LCG) to the spatially coupled random-number generator (SCG) given by X/sub i/(t+1)=f((X/sub i/(t))) (mod m) where i=1, 2, . . ., n can be regarded as spatial sites and f is a function of (X/sub i/) that denotes a set containing X/sub i/ and its neighbors. It was found that SCGs in general possess a very long period. Statistical and spectral tests on these SCGs show that they are excellent pseudorandom-number generators. The SCGs also have inherent parallel properties and are particularly efficient when implemented on parallel machines.<<ETX>>","PeriodicalId":193332,"journal":{"name":"[1990 Proceedings] The Third Symposium on the Frontiers of Massively Parallel Computation","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1990-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Random number generators with inherent parallel properties\",\"authors\":\"T. L. Yu, K. W. Yu\",\"doi\":\"10.1109/FMPC.1990.89433\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"By incorporating the spatial variable into a one-dimensional array of numbers, it is possible to generalize the well-known linear congruential random-number generator (LCG) to the spatially coupled random-number generator (SCG) given by X/sub i/(t+1)=f((X/sub i/(t))) (mod m) where i=1, 2, . . ., n can be regarded as spatial sites and f is a function of (X/sub i/) that denotes a set containing X/sub i/ and its neighbors. It was found that SCGs in general possess a very long period. Statistical and spectral tests on these SCGs show that they are excellent pseudorandom-number generators. The SCGs also have inherent parallel properties and are particularly efficient when implemented on parallel machines.<<ETX>>\",\"PeriodicalId\":193332,\"journal\":{\"name\":\"[1990 Proceedings] The Third Symposium on the Frontiers of Massively Parallel Computation\",\"volume\":\"46 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1990-10-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1990 Proceedings] The Third Symposium on the Frontiers of Massively Parallel Computation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FMPC.1990.89433\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1990 Proceedings] The Third Symposium on the Frontiers of Massively Parallel Computation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FMPC.1990.89433","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Random number generators with inherent parallel properties
By incorporating the spatial variable into a one-dimensional array of numbers, it is possible to generalize the well-known linear congruential random-number generator (LCG) to the spatially coupled random-number generator (SCG) given by X/sub i/(t+1)=f((X/sub i/(t))) (mod m) where i=1, 2, . . ., n can be regarded as spatial sites and f is a function of (X/sub i/) that denotes a set containing X/sub i/ and its neighbors. It was found that SCGs in general possess a very long period. Statistical and spectral tests on these SCGs show that they are excellent pseudorandom-number generators. The SCGs also have inherent parallel properties and are particularly efficient when implemented on parallel machines.<>